MRLR: unraveling high-resolution meiotic recombination by linked reads.

MOTIVATION: Meiotic recombination facilitates the transmission of exchanged genetic material between homologous chromosomes and plays a crucial role in increasing the genetic variations in eukaryotic organisms. In humans, thousands of crossover events have been identified by genotyping related family members. However, most of these crossover regions span tens to hundreds of kb, which is not sufficient resolution to accurately identify the crossover breakpoints in a typical trio family. RESULTS: We have developed MRLR, a software using 10X linked reads to identify crossover events at a high resolution. By reconstructing the gamete genome, MRLR only requires a trio family dataset and can efficiently discover the crossover events. Using MRLR, we revealed a fine-scale pattern of crossover regions in six human families. From the two closest heterozygous alleles around the crossovers, we determined that MRLR achieved a median resolution 4.5 kb. This method can delineate a genome-wide landscape of crossover events at a precise scale, which is important for both functional and genomic features analysis of meiotic recombination. AVAILABILITY AND IMPLEMENTATION: MRLR is freely available at https://github.com/ChongLab/MRLR, implemented in Perl. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data.

BACKGROUND: The Human Protein Atlas (HPA) aims to map human proteins via multiple technologies including imaging, proteomics and transcriptomics. Access of the HPA data is mainly via web-based interface allowing views of individual proteins, which may not be optimal for data analysis of a gene set, or automatic retrieval of original images. RESULTS: HPAanalyze is an R package for retrieving and performing exploratory analysis of data from HPA. HPAanalyze provides functionality for importing data tables and xml files from HPA, exporting and visualizing data, as well as downloading all staining images of interest. The package is free, open source, and available via Bioconductor and GitHub. We provide examples of the use of HPAanalyze to investigate proteins altered in the deadly brain tumor glioblastoma. For example, we confirm Epidermal Growth Factor Receptor elevation and Phosphatase and Tensin Homolog loss and suggest the importance of the GTP Cyclohydrolase I/Tetrahydrobiopterin pathway. Additionally, we provide an interactive website for non-programmers to explore and visualize data without the use of R. CONCLUSIONS: HPAanalyze integrates into the R workflow with the tidyverse framework, and it can be used in combination with Bioconductor packages for easy analysis of HPA data.

A Potential Answer to the Alert Override Riddle: Using Patient Attributes to Predict False Positive Alerts.

Electronic health records (EHRs) use alerts to help prevent medical errors, yet clinicians override many of these alerts due to desensitization from constant exposure (alert fatigue). We hypothesize that a clinician might override an alert warning about the dangers of a treatment if the patient's health is so poor that the treatment is worth the risk or if a patient's health suggests the treatment is not needed. We used logistic regression with general estimating equations to determine if the Early Warning Score (EWS), a measurement used to predict critical care need, could be used to predict alert overrides. EWS was a significant predictor of overrides for three alerts. Although EWS could not predict overrides for all alert rules, these results suggest that EWS may be helpful for some alerts, but that additional EHR data will be needed for predicting override behavior to a useful degree.

Kinomics toolbox-A web platform for analysis and viewing of kinomic peptide array data.

Kinomics is an emerging field of science that involves the study of global kinase activity. As kinases are essential players in virtually all cellular activities, kinomic testing can directly examine protein function, distinguishing kinomics from more remote, upstream components of the central dogma, such as genomics and transcriptomics. While there exist several different approaches for kinomic research, peptide microarrays are the most widely used and involve kinase activity assessment through measurement of phosphorylation of peptide substrates on the array. Unfortunately, bioinformatic tools for analyzing kinomic data are quite limited necessitating the development of accessible open access software in order to facilitate standardization and dissemination of kinomic data for scientific use. Here, we examine and present tools for data analysis for the popular PamChip® (PamGene International) kinomic peptide microarray. As a result, we propose (1) a procedural optimization of kinetic curve data capture, (2) new methods for background normalization, (3) guidelines for the detection of outliers during parameterization, and (4) a standardized data model to store array data at various analytical points. In order to utilize the new data model, we developed a series of tools to implement the new methods and to visualize the various data models. In the interest of accessibility, we developed this new toolbox as a series of JavaScript procedures that can be utilized as either server side resources (easily packaged as web services) or as client side scripts (web applications running in the browser). The aggregation of these tools within a Kinomics Toolbox provides an extensible web based analytic platform that researchers can engage directly and web programmers can extend. As a proof of concept, we developed three analytical tools, a technical reproducibility visualizer, an ANOVA based detector of differentially phosphorylated peptides, and a heatmap display with hierarchical clustering.

Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.

OBJECTIVE: Clinical informatics researchers depend on the availability of high-quality data from the electronic health record (EHR) to design and implement new methods and systems for clinical practice and research. However, these data are frequently unavailable or present in a format that requires substantial revision. This article reports the results of a review of informatics literature published from 2010 to 2016 that addresses these issues by identifying categories of data content that might be included or revised in the EHR. MATERIALS AND METHODS: We used an iterative review process on 1,215 biomedical informatics research articles. We placed them into generic categories, reviewed and refined the categories, and then assigned additional articles, for a total of three iterations. RESULTS: Our process identified eight categories of data content issues: Adverse Events, Clinician Cognitive Processes, Data Standards Creation and Data Communication, Genomics, Medication List Data Capture, Patient Preferences, Patient-reported Data, and Phenotyping. DISCUSSION: These categories summarize discussions in biomedical informatics literature that concern data content issues restricting clinical informatics research. These barriers to research result from data that are either absent from the EHR or are inadequate (e.g., in narrative text form) for the downstream applications of the data. In light of these categories, we discuss changes to EHR data storage that should be considered in the redesign of EHRs, to promote continued innovation in clinical informatics. CONCLUSION: Based on published literature of clinical informaticians' reuse of EHR data, we characterize eight types of data content that, if included in the next generation of EHRs, would find immediate application in advanced informatics tools and techniques.

Plasma Transfusion Demystified: A Review of the Key Factors Influencing the Response to Plasma Transfusion.

Many studies have suggested that inappropriate plasma usage is common. An important factor contributing to futile plasma administration in most patients is the nonlinear relationship between coagulation-factor levels and the volume of plasma transfused. In this review, a validated mathematical model and data from the literature will be used to illuminate 3 key properties of plasma transfusion. Those properties are as follows: the effect of plasma transfusion on international normalized ratio (INR) is transient; for the same volume of transfused plasma, a greater reduction in INR is observed at higher initial INRs; and the effect of plasma transfusion on INR correction (ie, the difference between initial and final INRs) diminishes as more plasma is transfused. Frequent misunderstanding of these properties may contribute to inappropriate plasma usage. Therefore, this review will assist physicians in navigating these common pitfalls. Stronger understanding of these principles may result in a reduction of inappropriate plasma transfusions, thus potentially enhancing patient safety and reducing healthcare costs.

i3b3: Infobuttons for i2b2 as a Mechanism for Investigating the Information Needs of Clinical Researchers.

The information needs of clinicians, as they interact with the EHR, are well-studied. Clinical researchers also interact with the EHR and, while they might be expected to have some similar needs, the unique needs that arise due to nature of their work remain largely unstudied. For clinicians, infobuttons (context-aware hyperlinks) provide a mechanism of studying these information needs. Here we describe the integration of infobuttons into i2b2, a popular data warehouse commonly used by clinical researchers, using a plugin. A preliminary survey of i2b2 developers suggests a general interest in infobuttons for i2b2 and indicates good likelihood for their deployment, where they may be used as a tool for further studying these needs in greater detail.